ask-fsk-psk-new-matlab-program

论文分析了合成孔径雷达图像迭代滤波处理的效果及其问题，结合统计滤波方法和小波分析方法，提出了一种基于细节补偿的MAP迭代滤波算法。实验结果表明，新的迭代滤波算法较好地解决了去噪和细节保留之间的矛盾，而且算法稳定，收敛很快。(This paper analyzes the iterative synthetic aperture radar image filtering effect and its problems, combined with statistical filtering methods and wavelet analysis method, details of compensation, a MAP based iterative filtering algorithm. Experimental results show that the new iterative filtering algorithm can solve the denoising and detail preservation conflicts between, and the algorithm is stable and fast convergence.)

首先对图像进行非线性灰度变换滤除噪声，然后利用最大类间方差阈值技术对处理后的图像进行二值化处理，最后利用积分投影定位人眼(First to utilize non-linear gray-scale transformation to filter out noises, then adopts the between-cluster variance threshold segmentation method for image binarization processing, finally using integral projection technology to pinpoint the human eye)

该程序是利用matlab来对一个序列dcm差分编码，也包含译码程序。可用于通信仿真.同时包含一个小波仿真的例程(This function use matlab to simulate the function of dcm, this can be used in communication simulation.)

网络的三相计算机潮流案例，基于MATLAB 的计算机潮流及其可视化(Three-phase current case computer networks, computer-based trend MATLAB and Visualization)

kalman滤波matlab程序，利用双点差分外推法取初值，并多次求平均值(kalman filter matlab procedures, the use of two-point difference extrapolation to take initial and repeated averaging)

对二阶rc等效电池模型运用matlab进行最小二乘法在线系统辨识的程序(Equivalent second-order rc battery model using least squares method matlab online system identification procedures )

Mean Square Error used to calculate mean square between two images

数模2015A题程序设计，给定影子长度计算所在位置的经纬度。(MCM 2015A The program design of digital and analog question 2015A calculates the longitude and latitude of the position given the shadow length.)

lapsvm 方法，进行半监督学习，模式识别与数据挖掘，数据分类(lapsvm method,semi-supervised learning,label unlabel)

Combining some labeled images is a quite common and useful task in image analysis. That s something we may want to do to prepare the markers for a watershed from markers for example, or to write the output of several segmentations in a single file. This article comes with three new filters to make the combination of labeled images easier with ITK. This contribution also try to provide an implementation better integrated with the ITK pipeline model than the itkMultipleUnlabeledImagesToLabeledImageFilter contribution.